Salesflare → Tableau
AI-first ETL from Salesflare into Tableau. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into Tableau
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.
Ideal for visual analytics and dashboards in Tableau.
Endpoints
Salesflare: B2B CRM focused on automation and relationship timeline data.
Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.
How Salesflare entities map to Tableau
| Salesflare entity | Tableau object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → flattened columns for Tableau fields |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | date/datetime fields events |
FAQ
How does Datrise handle Salesflare's custom fields in Tableau?
Flexible values are stored as flattened columns for Tableau fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Tableau types.
How does the Salesflare to Tableau sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.
Related pipelines
More destinations for Salesflare
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